Towards the Construction of Territorial Intelligence Tourism Concept in Latin America
Bibliographic record
Abstract
The objective of this research is to analyze from the Latin American perspective (Colombia, Costa Rica and Mexico), the construct of Territorial Intelligence Tourism concept.The methodological tool chosen, given the characteristics of the research carried out, has been the realization of a remote expert panel, which has allowed validating the methodology proposed to strengthen, through the concept of territorial intelligence and its relationship with tourism.The responses to the interviews were analyzed through the ATLAS.ti22 software.Within the code table of the expert groups, the frequencies of words that stood out the most with the answers are concentrated, giving 399 co-occurrences in codes, 257 routings and 174 densities.Part of the construct of the concept of Territorial Intelligence Tourism concept in the three participating countries (Mexico, Colombia and Costa Rica) of this study are located around Territorial Intelligence, where the categories are directly related to the three countries, these being: sustainable development, global community, tourism, urban development and development of science, technology and innovation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".